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The adoption of supply chain service platforms for organizational performance: Evidences from Chinese catering organizations

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  • Hong, Jiangtao
  • Guo, Pengjie
  • Deng, Hepu
  • Quan, Yuting

Abstract

Supply chain service platforms (SCSP) are playing an increasingly crucial role in improving the competitiveness of organizations in the digital economy. Little, however, is known about the critical factors to the adoption of SCSP in organizations for improving their performance. Drawing upon three domain theories in technology adoption in organizations including the technology-organization-environment framework, the innovation diffusion theory, and the interorganizational relationship theory, this study proposes and validates a research model for better understanding the critical factors to the adoption of SCSP using the survey data from 228 Chinese catering organizations. The study shows that organizational resources and external pressures have a significant direct impact on SCSP adoption in organizations. It reveals that perceived platform value fully mediates the effect of external pressures and partially mediates the effect of organizational resources on SCSP adoption. Furthermore, the study finds out that there is a significant positive association between SCSP adoption and organizational performance. This study contributes to better understanding of SCSP adoption in organizations in their active pursuit of sustainable performance.

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  • Hong, Jiangtao & Guo, Pengjie & Deng, Hepu & Quan, Yuting, 2021. "The adoption of supply chain service platforms for organizational performance: Evidences from Chinese catering organizations," International Journal of Production Economics, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:proeco:v:237:y:2021:i:c:s0925527321001237
    DOI: 10.1016/j.ijpe.2021.108147
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    1. Amrit Tiwana & Benn Konsynski & Ashley A. Bush, 2010. "Research Commentary ---Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics," Information Systems Research, INFORMS, vol. 21(4), pages 675-687, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Chekurov, Sergei & Metsä-Kortelainen, Sini & Salmi, Mika & Roda, Irene & Jussila, Ari, 2018. "The perceived value of additively manufactured digital spare parts in industry: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 205(C), pages 87-97.
    4. Brijesh Sivathanu, 2019. "Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India," Information Resources Management Journal (IRMJ), IGI Global, vol. 32(2), pages 52-75, April.
    5. El-Gohary, Hatem, 2012. "Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations," Tourism Management, Elsevier, vol. 33(5), pages 1256-1269.
    6. James C. Anderson, 1987. "An Approach for Confirmatory Measurement and Structural Equation Modeling of Organizational Properties," Management Science, INFORMS, vol. 33(4), pages 525-541, April.
    7. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    8. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    9. Ramkumar, M. & Schoenherr, Tobias & Wagner, Stephan M. & Jenamani, Mamata, 2019. "Q-TAM: A quality technology acceptance model for predicting organizational buyers’ continuance intentions for e-procurement services," International Journal of Production Economics, Elsevier, vol. 216(C), pages 333-348.
    10. Kurnia, Sherah & Choudrie, Jyoti & Mahbubur, Rahim Md & Alzougool, Basil, 2015. "E-commerce technology adoption: A Malaysian grocery SME retail sector study," Journal of Business Research, Elsevier, vol. 68(9), pages 1906-1918.
    11. Cenamor, J. & Rönnberg Sjödin, D. & Parida, V., 2017. "Adopting a platform approach in servitization: Leveraging the value of digitalization," International Journal of Production Economics, Elsevier, vol. 192(C), pages 54-65.
    12. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    13. Michael L. Katz & Carl Shapiro, 1994. "Systems Competition and Network Effects," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 93-115, Spring.
    14. James V. Koch & Richard J. Cebula, 2002. "Price, Quality, And Service On The Internet: Sense And Nonsense," Contemporary Economic Policy, Western Economic Association International, vol. 20(1), pages 25-37, January.
    15. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    16. Rui Chai & Juanqiong Gou & Guguan Shen, 2013. "Customer Evaluation Model Based on the Catering Industry’s Supply Chain Ecosystem," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 691-700, Springer.
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